Remote VP of AI-Driven SaaS Engineering

BlueSky Resource Solutions

Atlanta (GA)

Hybrid

USD 210,000 - 270,000

Full time

28 hours ago
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Job summary

BlueSky Resource Solutions is seeking a Vice President of Software Engineering – AI to lead the ongoing development of its enterprise SaaS platform and AI-enabled product portfolio in Atlanta. This high-visibility role combines strategic direction with hands-on engineering leadership, shaping architecture, team growth, and delivery discipline.

You will mentor engineers, own delivery metrics, and partner with Product and AI leaders to move AI capabilities from experiments to production, while

Qualifications

  • Proven engineering leadership in SaaS or software product companies.

Responsibilities

  • Lead, coach, and develop a distributed software engineering organization.
  • Improve development velocity and predictable release cycles.
  • Establish ownership and accountability across teams.
  • Engage in architecture and technical decisions.
  • Strengthen CI/CD, automated testing, security, reliability, observability.
  • Balance new product development with platform improvements and technical debt.
  • Translate priorities into engineering plans with Product leadership.
  • Partner with AI leadership to productionize AI capabilities.
  • Establish engineering metrics around delivery, quality, productivity, and performance.
  • Develop engineering leaders and maintain a collaborative culture.

Skills

SaaS leadership
Engineering leadership
AI product experience
Cloud architecture
CI/CD
Hiring & mentoring

Tools

AWS
GCP
Azure

Job description

BlueSky Resource Solutions is seeking a Vice President of Software Engineering – AI to lead the ongoing development of its enterprise SaaS platform and AI-enabled product portfolio in Atlanta. This high-visibility role combines strategic direction with hands-on engineering leadership, shaping architecture, team growth, and delivery discipline.

You will mentor engineers, own delivery metrics, and partner with Product and AI leaders to move AI capabilities from experiments to production, while

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